The current state of the art provides permanently installed and autonomously operating laser scanners (PLS) for this purpose. PLS systems provide huge amounts of data (billions of measurements per day). To make PLS systems and 4D analysis methods available for operational use and to limit the flood of data to the relevant information for decision makers, a new interface between the information needs of the application and the 4D acquisition and analysis is required.

Based on this need, the BMBF (Federal Ministry of Education and Research) is funding the joint project AImon5.0 as part of the funding measure "Digital GreenTech - Environmental Technology Meets Digitalization" under the funding code 02WDG1696. The concrete need and the application knowledge of different stakeholders are to be linked in a new system by means of PLS and the data archive through 4D data analysis. This should make it possible for the first time to use state-of-the-art PLS systems in operational risk monitoring and to use artificial intelligence (AI) methods to find and evaluate specifically relevant events in the huge amounts of data (e.g. activation of a slope area) and to track them in continuous monitoring as well as to automatically identify new events.

Partners in the project are the DMT GROUP (Daniel Czerwonka-Schröder), the Working Group for Geoinformatics and 3D Geodata Processing at the University of Heidelberg (Bernhard Höfle), the Chair of Engineering Geodesy at the Technical University of Munich (Christoph Holst), Deutsche Bahn Netz AG and the State Office for Geology and Mining in Rhineland-Palatinate.

The aim is to close the gap between research and application. Therefore, the implementation of the project is planned within a test scenario in the Middle Rhine Valley.

Duration: 01.09.2023 until 31.08.2025